Fontenot Miles, Konopka Genevieve
Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, USA.
Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, USA.
Curr Opin Genet Dev. 2014 Dec;29:52-9. doi: 10.1016/j.gde.2014.08.012. Epub 2014 Sep 15.
Inroads into elucidating the origins of human cognitive specializations have taken many forms, including genetic, genomic, anatomical, and behavioral assays that typically compare humans to non-human primates. While the integration of all of these approaches is essential for ultimately understanding human cognition, here, we review the usefulness of coexpression network analysis for specifically addressing this question. An increasing number of studies have incorporated coexpression networks into brain expression studies comparing species, disease versus control tissue, brain regions, or developmental time periods. A clearer picture has emerged of the key genes driving brain evolution, as well as the developmental and regional contributions of gene expression patterns important for normal brain development and those misregulated in cognitive diseases.
在阐明人类认知特化起源方面已经采取了多种形式,包括基因、基因组、解剖学和行为学检测,这些检测通常将人类与非人类灵长类动物进行比较。虽然整合所有这些方法对于最终理解人类认知至关重要,但在这里,我们回顾共表达网络分析对于专门解决这个问题的有用性。越来越多的研究已将共表达网络纳入比较物种、疾病与对照组织、脑区或发育时期的脑表达研究中。对于驱动大脑进化的关键基因,以及对正常大脑发育重要的基因表达模式在发育和区域上的贡献以及在认知疾病中失调的那些模式,已经出现了更清晰的图景。